Google Git
Sign in
apache / mnemonic / 772c790b83268415585f986db6a2220d42e7e7c3
commit772c790b83268415585f986db6a2220d42e7e7c3[log] [tgz]
authorWang, Gang(Gary) <gang1.wang@intel.com>Mon Oct 30 16:02:53 2017 -0700
committerWang, Gang(Gary) <gang1.wang@intel.com>Mon Oct 30 16:02:53 2017 -0700
tree285d85cbc0bf8338297952abe095495cc5775844
parentda3734e5a38e39c7128966225a8c0e319bc3960d [diff]
MNEMONIC-400: Add mnemonic-spark-kmeans-bench module to source package
1 file changed
tree: 285d85cbc0bf8338297952abe095495cc5775844
  1. .circleci/
  2. bin/
  3. docker/
  4. mnemonic-benches/
  5. mnemonic-collections/
  6. mnemonic-common/
  7. mnemonic-computing-services/
  8. mnemonic-core/
  9. mnemonic-examples/
  10. mnemonic-hadoop/
  11. mnemonic-memory-services/
  12. mnemonic-query/
  13. mnemonic-sessions/
  14. mnemonic-spark/
  15. .gitattributes
  16. .gitignore
  17. .travis.yml
  18. DISCLAIMER
  19. KEYS
  20. LICENSE
  21. NOTICE
  22. pom.xml
  23. README.md
README.md

================================

Mnemonic Official Website

Build Status

Apache Mnemonic is a non-volatile hybrid memory storage oriented library, it proposed a non-volatile/durable Java object model and durable computing service that bring several advantages to significantly improve the performance of massive real-time data processing/analytics. developers are able to use this library to design their cache-less and SerDe-less high performance applications.

Features:

  • In-place data storage on local non-volatile memory
  • Durable Object Model (DOM)
  • Durable Native Computing Model (DNCM)
  • Object graphs lazy loading & sharing
  • Auto-reclaim memory resources and Mnemonic objects
  • Hierarchical cache pool for massive data caching
  • Extensible memory services for new device adoption and allocation optimization
  • Durable data structure collection(WIP)
  • Durable computing service
  • Minimize memory footprint of on-heap
  • Reduce GC Overheads as the following chart shown (collected from Apache Spark experiments)
  • Drop-in Hadoop MapReduce support
  • Drop-in Hadoop Spark support